"Adjunct Faculty, Information Sciences and Technology"

Job Details

Department: Col of Engineering and Computing

Job Category: Adjunct Faculty

Job Type: Part-Time

Location: Fairfax, Science and Technology (formerly Prince William), Arlington, and Loudoun campuses

Workplace Type: On-site, Hybrid and/or Remote Eligible

Salary: Salary commensurate with education and experience

Criminal Background Check: Yes

About the Department

The Department of Information Sciences and Technology (IST) has 44 full-time faculty members with research foci in cybersecurity, data mining and machine learning, natural language processing, human-centered computing, and computing and engineering education.

IST has the largest and fastest growing undergraduate major in the university, the ABET-accredited BS in Information Technology, serving more than 2,000 students. Additionally, the department has over 300 graduate students in the Applied Information Technology (AIT) and MS in Information Systems (INFS) programs. The online MS programs in IT ranked 26th among public universities and 37th overall by U.S. News and World. In addition to BS and MS programs, the department also participates in a BAS program in Cyber Security, MS program in Data Analytics Engineering, and a PhD program in Information Technology (concentration in IST) offered by the CEC. In FY24, IST faculty had $2.5M research expenditures, received $4.27 M in new awards, and submitted proposals for $10.6 M. Several IST faculty members are affiliated with both school-level and university-level research centers and institutes. Funding sources include NSF, DOD, DARPA, NIH, and DHHS. Faculty awardees include NSF CAREER and NSF CRII recipients. For more information on the department, please visit our website: http://ist.gmu.edu/.

Responsibilities

Adjunct Faculty teach one or more IT courses in the following areas (current syllabi are available at http://ist.gmu.edu/students/current-students/course-syllabi/):

• Graduate
  • Big Data Analytics
  • Natural Language Processing
  • Machine Learning
  • Data Mining
  • Cybersecurity
  • Cyber-Human Systems
  • Artificial Intelligence
• Undergraduate
  • Databases
  • Cybersecurity
  • Networking and Telecommunication
  • Programming
  • Web Application Development
  • Cloud Computing
  • Artificial Intelligence

Courses are offered in the daytime, evening, and on weekends at the Fairfax, Science and Technology (formerly Prince William), Arlington, and Loudoun campuses. Courses may be offered in several formats: face-to-face, hybrid, and online.

Required Qualifications

• PhD or Master’s degree with 18 graduate credits in an IT-related discipline;
• Relevant practitioner-related experience;
• Experience with a learning management system preferably Blackboard; and
• Solid verbal and written communication skills.

Preferred Qualifications

• Terminal degree in an IT-related discipline;
• Relevant professional experience;
• Teaching experience at the university-level;
• Willingness and enthusiasm to participate in curriculum development, evaluation, and decision making of assigned courses with the Course Coordinator; and
• Willingness to participate in department activities such as faculty meetings.

Instructions to Applicants

For full consideration, applicants must apply for the Adjunct Faculty, Information Sciences and Technology at https://jobs.gmu.edu/; complete and submit the online application; and provide a cover letter, curriculum vitae, transcript, and a list of three professional references with contact information.

Posting Open Date: November 10, 2025

For Full Consideration, Apply by: March 31, 2026

Posting Close Date: November 10, 2026

Open Until Filled?: Yes